* Bachelor's degree in Statistics, Computer Science, Engineering, or Mathematics, related quantitative discipline, or equivalent practical experience.
* Programming experience in Python and/or R.
* Experience in Quantitative Analytics, with a focus on marketing analytics, statistical modeling, machine learning, digital attribution, forecasting, optimization, and predictive analytics.
Preferred qualifications:
* PhD in Statistics, Computer Science, Engineering, or Mathematics, or equivalent practical experience.
* Experience with analytic software tools such as SQL, R, SAS, SPLUS, and Eviews.
* Experience using/deploying digital analytics and measurement solutions, and with SQL and big data.
* Experience in a customer industry including: retail, financial services/retail banking, insurance, telecommunications, automotive, and consumer packaged goods (CPG).
* Understanding of media (paid, owned, and earned), as well as of the statistical algorithms typically used in Marketing Analytics.
About The Job
gTech’s Professional Services team takes a creative, collaborative, and
customer-centric approach to provide foundational services and forward-looking
business solutions to top advertiser and publisher customers. Through
technical implementation, optimization, and key solutions, gTech Professional
Services helps customers attain their business goals while building long-term
capabilities.
As a Data Scientist, you will work closely with our customers and produce
innovative and actionable quantitative models and analyses to address the
challenges of marketing effectiveness, return on investment, and prediction.
In addition to troubleshooting on the customer side, you will work with Sales,
Product, and Engineering teams within Google to develop better tools and
services to improve our products based on the evolving needs of our users.
Google creates products and services that make the world a better place, and
gTech’s role is to help bring them to life. Our teams of trusted advisors
support customers globally. Our solutions are rooted in our technical skill,
product expertise, and a thorough understanding of our customers’ complex
needs. Whether the answer is a bespoke solution to solve a unique problem, or
a new tool that can scale across Google, everything we do aims to ensure our
customers benefit from the full potential of Google products.
To learn more about gTech, check out our video .
Responsibilities
* Support customer engagements with data science solutions including Media Mix Modeling and propensity modeling, as well as accurate predictions of future activities through the use of Machine Learning with Deep Neural Networks.
* Support critical aspects of customer engagements in marketing effectiveness and marketing portfolio management through the use of data science and statistics.
* Deliver positive incremental change specifically with Google Analytics, 360 suite attribution, and analytic solutions.
* Translate, simplify, and communicate with business stakeholders using models in the simplest and most practical ways to improve business and other metrics.
* Deliver effective presentations of findings and recommendations to multiple levels of stakeholders, creating visual displays of quantitative information.
Google is proud to be an equal opportunity workplace and is an affirmative
action employer. We are committed to equal employment opportunity regardless
of race, color, ancestry, religion, sex, national origin, sexual orientation,
age, citizenship, marital status, disability, gender identity or Veteran
status. We also consider qualified applicants regardless of criminal
histories, consistent with legal requirements. See also Google's EEO Policy
and EEO is the Law. If you have a disability or special need that requires
accommodation, please let us know by completing our Accommodations for
Applicants form .
